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36 results for “energy harvesting”
Energy Harvesting Using a Nonlinear Resonator with Asymmetric Potential Wells
<p><strong>This repository contains</strong> the results of numerical simulations of a nonlinear bistable system for harvesting energy from ambient vibrating mechanical sources. Detailed model tests were carried out on an inertial energy harvesting system consisting of a piezoelectric beam with additional springs attached. The mathematical model was derived using the bond graph approach. Depending on the spring selection, the shape of the bistable potential wells was modified including the removal of wells’ degeneration. Consequently, the broken mirror symmetry between the potential wells led to additional solutions with corresponding voltage responses. The probability of occurrence for different high voltage/large orbit solutions with changes in potential symmetry was investigated. In particular, the periodicity of different solutions with respect to the harmonic excitation period were studied and compared in terms of the voltage output. The results showed that a large orbit period-6 subharmonic solution could be stabilized while some higher subharmonic solutions disappeared with the increasing asymmetry of potential wells. Changes in frequency ranges were also observed for chaotic solutions.</p>
Battery-less Environment Sensor Using Thermoelectric Energy Harvesting From Soil-Ambient Air Temperature Differences
<p>The data set contains the data collected from experiments sites in Belgium ( Campus Drie Eiken, University of Antwerp, 51.161° N, 4.408° W) and Iceland ( Forhot, 64.008° N, 21.178° W) for the research and evaluation of a battery-less environment sensor powered by energy harvesting. The device uses the temperature difference between soil and air to produce energy with the help of a Thermoelectric Generator (TEG) and powers a wireless sensor node. The data set includes data collected from 2 phases of the study. One during the initial evaluation phase where we collected soil temperatures at 15 cm and air temperature to evaluate the possibilities of producing energy from the temperature differences. Using these data, we estimated the energy production capacity for both sites. Further, a proof-of-concept device was developed, and its performance was evaluated with field experiments. During this process, we collected the voltage level of the storage unit, i.e, the capacitor, air and soil temperatures and the TEG output voltage. During both phases, the same methods were employed to collect data. The voltage values were measured with a 12-bit ADC and the temperature was measured with 1-Wire temperature sensor. Further, the collected data were transferred to cloud storage in real-time for further analysis and evaluation. </p> <ul> <li><strong>cde_mseasurements_oct2020-nov2020.csv</strong> <ul> <li> Soil temperature and air temperature data from the Campus Drie Eiken at the University of Antwerp, Belgium. The data were collected from 2 Oct 2020 to 17 Nov 2020.</li> </ul> </li> <li><strong>cde_teg_measurements.csv</strong> <ul> <li>Soil temperature, ambient temperature and the open-circuit voltage of TEG from Campus Drie Eiken at the University Antwerp, Belgium from 21 Apr 2021 to 25 Apr May 2021. Also includes the difference calculated between the two temperature values.</li> </ul> </li> <li><strong>cde_energy_simulated.csv</strong> <ul> <li>Energy production capacity estimated using the temperature data collected from Campus Drie Eiken at the University of Antwerp.</li> </ul> </li> <li><strong>aui_measurements_nov-2021.csv</strong> <ul> <li>Soil temperature and air temperature data from the Forhot research site in Iceland for the month of November 2021.</li> </ul> </li> <li><strong>aui_teg_measurements.csv</strong> <ul> <li>Soil temperature, ambient temperature and the open-circuit voltage of TEG collected from the Forhot research site in Iceland. Also includes the difference calculated between the two temperature values. The data were collected from 18 Nov 2021 to 30 Nov 2021</li> </ul> </li> <li><strong>aui_energy_simulated.csv</strong> <ul> <li>Energy production capacity estimated using the temperature data collected from the Forhot research site in Iceland.</li> </ul> </li> <li><strong>cde_capacitor_voltage.csv</strong> <ul> <li>The voltage level of the capacitor used by the battery-less device to buffer the harvested energy. The device was deployed at the Campus Drie Eiken and the data collection was carried out from 1 Mar 2022 to 12 Apr 2022. A 15 mF supercapacitor was used. </li> </ul> </li> </ul>
Energy Harvesting Using a Nonlinear Resonator with Asymmetric Potential Wells
<p><strong><span>This repository contains</span></strong><span> the results of numerical simulations of a nonlinear bistable system for harvesting energy from ambient vibrating mechanical sources. Detailed model tests were carried out on an inertial energy harvesting system consisting of a piezoelectric beam with additional springs attached. The mathematical model was derived using the bond graph approach. Depending on the spring selection, the shape of the bistable potential wells was modified including the removal of wells’ degeneration. Consequently, the broken mirror symmetry between the potential wells led to additional solutions with corresponding voltage responses. The probability of occurrence for different high voltage/large orbit solutions with changes in potential symmetry was investigated. In particular, the periodicity of different solutions with respect to the harmonic excitation period were studied and compared in terms of the voltage output. The results showed that a large orbit period-6 subharmonic solution could be stabilized while some higher subharmonic solutions disappeared with the increasing asymmetry of potential wells. Changes in frequency ranges were also observed for chaotic solutions.</span></p>
Piezomagnetic vibration energy harvester with an amplifier
<p>This repository contains results of simulation of the effect of an amplification mechanism in a nonlinear vibration energy harvesting system where a ferromagnetic beam resonator is attached to the vibration source through an additional linear spring with a damper. The beam moves in the nonlinear double-well potential caused by interaction with two magnets. The piezoelectric patches with electrodes attached to the electrical circuit support mechanical energy transduction into electrical power. The results show that the additional spring can improve energy harvesting. By changing its stiffness, we observed various solutions. At the point of the optimal stiffness of the additional spring, the power output is amplified a few times depending on the excitation amplitude.</p>
Double-Versus Triple-Potential Well Energy Harvesters: Dynamics and Power Output
<div>The present datasets and figures focus on the analysis of BEH and TEH systems where the corresponding depth of the potential well and the width of their characteristics are the same. The efficiency of energy harvesting for TEH and BEH systems assuming similar potential parameters is provided. The basic types of multistable energy harvesters are bistable energy harvesting systems (BEH) and tristable energy harvesting systems (TEH). Providing such parameters allows for reliable formulation of conclusions about the efficiency in both types of systems. These energy harvesting systems are based on permanent magnets and a cantilever beam designed to obtain energy from vibrations. Starting from the bond graphs, we derived the nonlinear equations of motion. Then we followed the bifurcations along the increasing frequency for both configurations. To identify the character of particular solutions, we estimated their corresponding phase portraits, Poincare sections, and Lyapunov exponents. The selected solutions are associated with their voltage output. The results in this numerical study show clearly that the bistable potential is more efficient for energy harvesting provided the corresponding excitation amplitude is large enough. However, the tristable one could work better in the limits of low-level and low-frequency excitations. </div> <div> <h2>Series information</h2> <p>Potential characteristics of energy harvesting systems caused by magnetic field of distributed permanent magnets:</p> <ul> <li>Fig4a_b_V_y1.txt</li> <li>Fig4a_r_V_y1.txt</li> </ul> <p>Potential characteristics of energy harvesting systems caused by magnetic field effect as in the previous case and an additional change in the stiffness of the flexible cantilever beam:</p> <ul> <li>Fig4b_b_V_y1.txt</li> <li>Fig4b_r_V_y1.txt</li> </ul> <p>Series of steady states of the system against frequency for two potential wells. </p> <ul> <li>Fig6a_p005.txt</li> <li>Fig6c_p025.txt</li> <li>Fig6e_p05.txt</li> <li>Fig6g_p085.txt</li> </ul> <p>Series of steady states of the system against frequency for three potential wells</p> <ul> <li>Fig6b_p005.txt</li> <li>Fig6d_p025.txt</li> <li>Fig6f_p05.txt</li> <li>Fig6h_p085.txt</li> </ul> <p>The excitation amplitude increases downwards from 0.05 to 0.85 and its values are listed in the corresponding description. The results were obtained for zero initial conditions. ω and x are dimensionless.</p> </div> <div><strong>Figures:</strong></div> <div> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%202.jpg/content" target="_blank" rel="noopener"><br>ig 2.jpg</a> - A graph of bonds representing the dynamics of the tested design solutions of energy harvesting systems.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%203.jpg/content" target="_blank" rel="noopener">Fig 3.jpg</a> - A Lagrangian bond graph, with causality conflicts intentionally introduced.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%204.jpg/content" target="_blank" rel="noopener">Fig 4.jpg</a> - Potential characteristics of energy harvesting systems caused by: (<strong>a</strong>) magnetic field of distributed permanent magnets (Fig. 1); (<strong>b</strong>) magnetic field effect as in previous case and an additional change in stiffness of the flexible cantilever beam (to satisfy equal potential barriers <em>V</em><sub>2</sub> = <em>V</em><sub>3</sub> ) used in further calculations.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%206.jpg/content" target="_blank" rel="noopener">Fig 6.jpg</a> - Bifurcation diagrams (stroboscopic) of steady states of the system against frequency for: (<strong>a</strong>) Two potential wells; (<strong>b</strong>) three potential wells. The excitation amplitude increases downwards from 0.05 to 0.85 and its values are listed in the corresponding sub-figures. The results were obtained for zero initial conditions. <em>ω</em> and <em>x</em> are dimensionless.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%207.jpg/content" target="_blank" rel="noopener">Fig 7.jpg</a> - Exemplary solutions showing the geometrical structures of chaotic phase flows and the corresponding Poincaré cross-sections of a BEH. <em>Dc</em> denotes the corresponding correlation dimension. <em>ω</em>, <em>p</em>, <em>x, </em>and x' are dimensionless.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%208.jpg/content" target="_blank" rel="noopener">Fig 8.jpg</a> - Examples of periodic responses of a BEH system identified for dimensionless mechanical vibration amplitudes: (<strong>a</strong>) <em>p</em> = 0.05; (<strong>b</strong>) <em>p</em> = 0.25; (<strong>c</strong>) <em>p</em> = 0.5; (<strong>d</strong>) <em>p</em> = 0.85. <em>ω</em>, <em>p</em>, <em>x, </em>and<em> x'</em> are dimensionless.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%209.jpg/content" target="_blank" rel="noopener">Fig 9.jpg</a> - Example solutions showing geometric structures of chaotic phase flows and corresponding Poincaré cross-sections, which were identified for a system with three potential wells (TEH). <em>Dc</em> denotes the corresponding correlation dimension. <em>ω</em>, <em>p</em>, <em>x, </em>and<em> x'</em> are dimensionless.</p> <p>Fig 10.jpg – Influence of external load characteristics on periodic induced solutions in a TEH. Trajectory shapes are plotted for selected frequencies ω. <em>ω</em>, <em>p</em>, <em>x, </em>and<em> x'</em> are dimensionless.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%2011.jpg/content" target="_blank" rel="noopener">Fig 11.jpg</a> - Multicolored maps of the values of effective energy harvesting systems (RMS voltage outputs) with the potential: (<strong>a</strong>) two-well (BEH); (<strong>b</strong>) three-well (TEH) for zero initial conditions. <em>ω</em> and <em>p</em> are dimensionless, while <em>U<sub>RMS</sub></em> is expressed in Volts.</p> <p><a href="https://zenodo.org/api/records/14176152/draft/files/Fig%2012.jpg/content" target="_blank" rel="noopener">Fig 12.jpg</a> - Comparison of RMS<strong> </strong>voltage outputs for two and three wells potential systems versus amplitude and frequency. ω is dimensionless while <em>U<sub>RMS</sub></em> is expressed in Volts.</p> </div>
Experimental data for nonlinear dynamics and energy harvesting of bistable cantilever shells (grant 2021/41/B/ST8/03190 from the National Science Centre, Poland)
<p>An experimental tests on a cantilever composite bistable shell with a piezoelectric patch is reported. The shell is characterized by two stable configurations. Periodic force is applied at the shell’s clamped side through an electrodynamic shaker and the dynamic response is measured through an embedded strain gauge. Selected dynamic regimes are recorded by performing excitation frequency and amplitude sweeps. The resonance scenarios around the two natural frequencies corresponding to the stable configurations show different softening behavior. The excitation amplitude threshold level for snap-through motion is identified. The thested thin-walled pseudo-conical shell has been made of carbon-epoxy composite prepreg tape (AS4-GP-12K_40gsm-<br>300mm-ThinPreg135EP). The composite single layer is characterized by unidirectional reinforcement, thickness 0.04 mm. The manufacturing standard samples for strength tests in the autoclave process reduces to about 0.038 mm. </p>
An energy harvester based on UV-polymerized short-alkyl-chain-modified [DBU][TFSI] ionic liquid electrets
<p>This dataset contains the measurement data for figures published in the journal article: </p> <p>An energy harvester based on UV-polymerized short-alkyl-chain-modified [DBU][TFSI] ionic liquid electrets (https://doi.org/10.1039/D3TA05448A)</p> <p>by Topias Järvinen, Nemanja Vucetic, Petra Palvölgyi, Olli Pitkänen, Tuomo Siponkoski, Helene Cabaud, Robert Vajtai, Jyri-Pekka Mikkola and Krisztian Kordas</p>
Data from: Energy harvesting in a flow-induced vibrating flapper with biomimetic gaits
<p>Energy harvesting from flow induced vibrations (FIV) in flexible bodies offer opportunities for power generation in biomimicking robotic devices and is an active area of research. The focus of this study is on investigating the underlying physics and qualitatively analysing the energy extraction scenarios in similar structural systems, comprising of a flexible piezoelectric flapper in a low Reynolds number flow regime. A high-fidelity three-way fully coupled fluid-structure-electric energy solver is developed in-house to study the energy harvesting capabilities of such a flapper, its hydrodynamic characteristics and the associated unsteady flow-field. The results indicate that the flapper deformation profiles at the most efficient harvesting regimes, resemble the propulsion gaits of natural swimmers. Investigations on the effects of a sinusoidal heaving actuation reveal no significant impact on the harvested power at the high yield (high power output) regime, identified under the passive condition showing biomimetic gait. This study provides mechanics based insights that is expected to be useful for bio-inspired designs of FIV based harvesters.</p>
Time-synchronized Energy Harvesting Traces
<p>32h of time-synchronized energy-harvesting traces from 5 different scenarios involving solar panels and piezoelectric harvesters. The data was recorded with, a measurement tool that records time-synchronized voltage and current traces from one or more energy-harvesting nodes with high rate and resolution.</p> <ul> <li>The <em>jogging</em> dataset comprises traces from two participants, each equipped with two piezoelectric harvester at the ankles and a solar panel at the left wrist. The two participants run together for an hour in a public park, including short walking and standing breaks.</li> <li>For the <em>stairs</em> dataset, we recorded traces from six solar panels that are embedded into the surface of an outdoor stair in front of a lecture hall. Over the course of one hour, numerous students pass the stairs, leading to temporary shadowing effects on some or all of the solar panels.</li> <li>The <em>office</em> dataset comprises traces from five solar panels mounted on the doorframe and walls of an office with fluorescent lights. During the one-hour recording, people enter and leave the office and operate the lights.</li> <li>The <em>cars</em> dataset contains traces from two cars. Each car is equipped with three piezoelectric harvesters mounted on the windshield, the dashboard, and in the trunk. The cars drive for two hours in convoy over a variety of roads.</li> <li>The <em>washer</em> dataset includes five traces from piezoelectric harvesters mounted on a WPB4700H industrial washing machine, while the machine runs a washing program with maximum load for 45 minutes.</li> </ul>
Open-source design files for harvesting energy from overhead power line cables
<p>OpenSource_CalculationFile_MEH.xlsx : this is an excel file that provides a calculation tool to select a magnetic core for harvesting energy from powerlines.</p> <p>OpenSource_Schematic_MEH.pdf : this is a schematic file that provides a detailed design of the charging circuit.</p>
Optimization procedure of low frequency vibration energy harvester based on magnetic levitation: Datasets and scripts
<p>****** Please view the README.txt file for detailed documentation of data. ******</p> <p> </p> <p>Title: Optimization procedure of low frequency vibration energy harvester based on magnetic levitation: Datasets and scripts<br>Version: 2.0<br>Date of Release: 2023/08/23<br>Identifier: doi:10.5281/zenodo.8317223<br>Permalink: http://dx.doi.org/10.5281/zenodo.8317223</p> <p><br>Associated publication: I. Royo-Silvestre, J. J. Beato-López, C. Gómez-Polo "Optimization procedure of low frequency vibration energy harvester based on magnetic levitation", Applied Energy, Volume 360, 15 April 2024, 122778</p> <p>Link to publication: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.apenergy.2024.122778" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.apenergy.2024.122778</span></a></p> <p><br>Suggested citation: Please reference the associated publication above when using any datasets or materials described in the README file.</p> <p> </p> <p>Contact information: Isaac Royo Silvestre, Universidad Pública de Navarra, Pamplona, Spain., isaac.royo@unavarra.es<br>Co-authors: juanjesus.beato@unavarra.es, gpolo@unavarra.es</p> <p> </p> <p>Dates of data collection: 2023/03<br>Geographic location: Pamplona, Spain</p> <p> </p> <p>This directory contains the following datasets and scripts:</p> <p>SCRIPTS</p> <p>- harvester_op.m: Matlab script to automate the design and optimize a magnetic spring based vibration energy harvester (more information in the associated paper)</p> <p>- harvester_op_par.m: Matlab script, a version of harvester_op.m modified for parallel computing and shorter execution time in multicore computers (file added in v 2.0 of the data upload).</p> <p>DATASETS<br>- data.zip: Experimental data recorded by the datalogger as well as tabular data required to plot curves (compressed zip file) in csv format</p> <p> </p> <p>Specific documentation of each file is described in readme files.</p> <p> </p> <p>Refer to the original manuscript (see above) and the text of the Supplementary Materials published alongside this manuscript for additional information regarding the collection and generation of these data.</p>
Data from: Energy harvesting in a flow-induced vibrating flapper with biomimetic gaits
Open the record for dataset details and reuse information.
Nuclear quantum effects slow down the energy transfer in biological light-harvesting complexes
Open the record for dataset details and reuse information.
An Innovative Thermo-Energy Harvesting Module for Asphalt Roadway Pavement
<p>The importance of green technologies for generating renewable energy and sustainable development is widely accepted. Road surfaces are exposed to solar radiation that generates thermal gradients and heat flow in the pavement layers. The heat stored can be harvested providing an untapped source of renewable energy. This report presents the design, construction, and assessment of an improved thermoelectric energy prototype for harvesting heat energy from roadway pavements. To accomplish this, various prototype designs were simulated using Finite Element (FE) analysis, followed by design construction and laboratory testing of the most promising prototypes to evaluate their power harvesting capabilities. The main design components of these prototypes are a heat collector/transfer plate, thermoelectric generators (TEG), and a cooling module consisting of a heat sink, phase change material, and an insulation box. The results suggest a direct relationship between thermal gradients and power generation and point out the importance of the cooling module in maintaining the efficiency of the harvester. An optimum harvester design would generate an average power output of 29 mWatt or 835 J over 8 hours per day in South Texas. Extrapolating this output for an installation that covers a length of 1 kilometer of a roadway could produce an average of 23.2 kWh/day, which appears to be a promising independent source of power for roadside signage and sensors.</p>
Dataset for the paper "Ocean wave energy harvesting with high energy density and self-powered monitoring system"
<p>Dataset for the paper "Ocean wave energy harvesting with high energy density and self-powered monitoring system“.</p>
Product Datasheets of MIDE Piezoelectric Energy Harvesters V20W & V25W And Product Datasheet of Brüel & Kjaer LDS 406-408 Electromagnetic Shaker
<p>Product datasheets containing technical information used for products' technical analyses as vibration energy harvesters:</p> <ul> <li>Product Datasheet LDS V406 and V408 shakers, Brüel & Kjaer, Nærum, Denmark (2012).</li> <li>Product Datasheet Volture Piezoelectric Energy Harvesters (including V20W and V25W), Midé Technology Corporation, Massachusetts, USA, rev. no. 002 ed. (2013).</li> <li>Product Datasheet for Materials Properties of Volture Piezoelectric Products (including V20W and V25W), Midé Technology Corporation, Massachusetts, USA (Retrieved 2013).</li> </ul>
Dataset for a Fully Featured Thermal Energy Harvesting Tracker for Wildlife
<p>This dataset holds all measurements recorded by a custom-built thermal harvesting tracking collar - including GPS-position, four temperature readings, acceleration, timestamps.</p> <p>Three collars, two of them supplied solely by thermal energy harvesting, were attached to cashmere-goats from 26 May to 12 July 2020.</p>
Dataset for 'Heat and Humidity Exposure in Mega-cities - an Applied Tool for Energy and Water Harvesting Technologies'
<p>This is the dataset for the article named '<strong>Heat and Humidity Exposure in Mega-cities - an Applied Tool for Energy and Water Harvesting Technologies </strong>'</p>
Field Application of a High-Power Density Electromagnetic Energy Harvester to Power Wireless Sensors in Transportation Infrastructures
<p>Traffic-induced vibration of transportation infrastructures is a reliable source of kinetic energy, which can be harvested to power conventional monitoring sensors and peripherals installed on bridges, thereby reducing some dependence on non-renewable energy. The highway statistics shows that the average daily vehicles miles travelled in the US is more than 5 billion. This is a massive source of kinetic energy that lies unused in the national transportation network. This study focuses on the design and field testing of a high-power density electromagnetic energy harvester (EMEH) to convert such a kinetic energy into electrical energy for powering ubiquitous sensors installed on transportation infrastructures. The principal investigators have been investigating the design of the EMEH using analytical and finite element simulations, as well as, its laboratory prototype fabrication and testing in the first phase. The proposed EMEH utilizes the innovative concept of creating planar array of large number of small permanent magnets through certain optimization criteria to achieve strong and focused magnetic field in a particular orientation. The proposed EMEH has a compact design, such that it can be integrated into the power circuit of wireless sensor nodes (WSNs) and installed at suitable part of a transportation infrastructure without elaborate wiring. It is capable of continuously charging the rechargeable battery of a WSN, thereby extending the lifespan of the monitoring system, almost, indefinitely. For the next phase of this research, the principal investigators propose the development and field implementation of a larger scale and more compact version of the EMEH with a minimum of 500 mW output power to be installed on selected transportation infrastructures for the evaluation of its energy harvesting efficiency and capability to derive different types of monitoring sensors and peripherals. Three different highway bridges with different fundamental frequencies, ideally between 2Hz to 8Hz, will be selected for the field testing of the EMEH. An acceleration sensor will be used to record the traffic-induced vibration of each bridge during a normal daily traffic that after signal processing is used to measure the fundamental frequency of that bridge. The dynamic characteristics of the proposed EMEH (i.e. tip mass and spring stiffness) will be modified to put it into a resonant condition with the bridge by matching their natural frequencies. The output power will be monitored and used to continuously charge a rechargeable battery powering a wireless sensor. The focus is on the feasibility of the proposed EMEH to power sensors that are used to regularly monitor the structural integrity of materials and components of highway bridges such as acceleration and temperature sensors.</p>
[DATASET 9] - PLANT-ROBOT INTERFACES FOR ENERGY HARVESTING
<p>In the framework of GrowBot project, task 7.2 aims at developing bio-hybrid energy harvesting systems based on the triboelectric effect.<br> The energy conversion occurs at plant leaves level during mechanical stimulation (i.e., wind, rain, etc.).<br> Two main components have been developed in GrowBot:<br> - Flexible artificial “leaves” (flexible electrodes covered with tailored materials) to enhance mechanical impacts with the plant leaves and further enhance power output.<br> - Minimal-invasive electrodes that establish electrical contact between GrowBots and real plants.</p> <p>DS9 aims at collecting all the experimental data gathered during these activities.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.